Evidence map›Paper›PMID 36104435›Full record

ArticleScientific reports2022

Perceptual decision-making in autism as assessed by "spot the difference" visual cognition tasks.

Nazia Jassim, Adrian M Owen, Paula Smith, John Suckling, Rebecca P Lawson, Simon Baron-Cohen, Owen Parsons

Abstract read
In one paragraph

Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. ShopAutiPlan: Validating a Serious Game for Assessing Executive Planning in Autism.Autism research : official journal of the International Society for Autism Research · 2026
    Article
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  3. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Nazia JassimAutism Research Centre, Department of Psychiatry, University of Cambridge, Cambridge, UK. nj304@cam.ac.uk.
Adrian M OwenDepartment of Physiology and Pharmacology, The Western Institute for Neuroscience, London, Canada.
Paula SmithAutism Research Centre, Department of Psychiatry, University of Cambridge, Cambridge, UK.
John SucklingDepartment of Psychiatry, School of Clinical Medicine, University of Cambridge, Cambridge, UK.
Rebecca P LawsonDepartment of Psychology, University of Cambridge, Cambridge, UK.
Simon Baron-Cohen *Autism Research Centre, Department of Psychiatry, University of Cambridge, Cambridge, UK.
Owen Parsons *Autism Research Centre, Department of Psychiatry, University of Cambridge, Cambridge, UK.

Funding

Department of HealthMedical Research CouncilWellcome Trust 206691Wellcome Trust 206691/Z/17/ZWellcome Trust 214322\Z\18\Z
6 · The paper itself

Abstract

Discriminating between similar figures proves to be a remarkably demanding task due to the limited capacity of our visual cognitive processes. Here we examine how perceptual inference and decision-making are modulated by differences arising from neurodiversity. A large sample of autistic (n = 140) and typical (n = 147) participants completed two forced choice similarity judgement tasks online. Each task consisted of "match" (identical figures) and "mismatch" (subtle differences between figures) conditions. Signal detection theory analyses indicated a response bias by the autism group during conditions of uncertainty. More specifically, autistic participants were more likely to choose the "mismatch" option, thus leading to more hits on the "mismatch" condition, but also more false alarms on the "match" condition. These results suggest differences in response strategies during perceptual decision-making in autism.

Indexed as

Autistic DisorderCognitionDecision MakingHumansJudgmentUncertainty

Identifiers

PMID36104435
PMCPMC9474452

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.